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Deriving disease modules from the compressed transcriptional space embedded in a deep autoencoder

Disease modules in molecular interaction maps have been useful for characterizing diseases. Yet biological networks, that commonly define such modules are incomplete and biased toward some well-studied disease genes. Here we ask whether disease-relevant modules of genes can be discovered without pri...

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Detalles Bibliográficos
Autores principales: Dwivedi, Sanjiv K., Tjärnberg, Andreas, Tegnér, Jesper, Gustafsson, Mika
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7016183/
https://www.ncbi.nlm.nih.gov/pubmed/32051402
http://dx.doi.org/10.1038/s41467-020-14666-6

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